43 machine-learning-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions at Aarhus University
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be expected to contribute to the departments’ teaching and supervision activities and to teach and supervise on the department’s bachelor’s and master’s degree programmes, particularly the degree
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development for postdocs at AU. International applicants International applicants are encouraged to learn about the attractive working conditions and other benefits of working at Aarhus University and in
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partners and by applying for external research funding. Teaching and supervision The successful applicant will be expected to participate in the department’s teaching and supervision activities, to teach and
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Science, please see here . Further information If you have questions regarding the position or want to learn more about the project and specific tasks prior to the application, please do not hesitate
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aesthetic fields. The successful applicant will therefore be expected to engage with digital pedagogies and investigate how teaching and learning in culture, art and the creative disciplines can evolve to
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assistance and career counselling for accompanying partners. English is the primary language used for internal communication and teaching, and international candidates are not required to learn Danish. Aarhus
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learning for imaging tasks Prior work with histology–imaging registration or material decomposition Clinical research exposure As a person, you have good interpersonal skills, are inclusive and team-oriented
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management of Science Bridge’s budget and resources, as well as for monitoring, learning, and reporting on activities and outcomes. Contribute to the overall development of the Faculty of Natural Sciences and
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be prepared to teach in the BA and MA programmes, primarily in Theology, but also in Religious Studies. This includes undergraduate courses in Practical Theology and Contemporary Christianity and MA
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preparation for mass spectrometry analysis in the laboratory Learning of data analysis methods and code to understand mass spectrometry data Present your data at lab meetings and (inter-)national meetings